Triple

T19174557
Position Surface form Disambiguated ID Type / Status
Subject Terminal A at Dallas/Fort Worth International Airport E469406 entity
Predicate terminalDesignation P38513 FINISHED
Object A
A is one of the passenger terminals at Dallas/Fort Worth International Airport, serving as a major concourse for airline operations, gates, and traveler amenities.
 E1363776 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A | Statement: [Terminal A at Dallas/Fort Worth International Airport, terminalDesignation, A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A
Context triple: [Terminal A at Dallas/Fort Worth International Airport, terminalDesignation, A]
  • A. A
    A is a Los Angeles Metro Rail line that runs along the Blue Line corridor, connecting downtown Los Angeles with surrounding communities.
  • B. A
    A is the letter designation for one of the primary services on the New York City Subway system.
  • C. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • D. As
    As is a municipality in the Belgian province of Limburg, known for its rural character and proximity to the Hoge Kempen National Park.
  • E. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A
Triple: [Terminal A at Dallas/Fort Worth International Airport, terminalDesignation, A]
Generated description
A is one of the passenger terminals at Dallas/Fort Worth International Airport, serving as a major concourse for airline operations, gates, and traveler amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A
Target entity description: A is one of the passenger terminals at Dallas/Fort Worth International Airport, serving as a major concourse for airline operations, gates, and traveler amenities.
  • A. A
    A is a Los Angeles Metro Rail line that runs along the Blue Line corridor, connecting downtown Los Angeles with surrounding communities.
  • B. A
    A is the letter designation for one of the primary services on the New York City Subway system.
  • C. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • D. As
    As is a municipality in the Belgian province of Limburg, known for its rural character and proximity to the Hoge Kempen National Park.
  • E. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f166d3888190adaf6dc8531a8ed1 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8ae89dc819098830e25b3552dee completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06fc91e6ac81909da9ac934d445cdf completed May 15, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a06fe1c24788190872d037a6f9e6325 completed May 15, 2026, 11:06 a.m.
Created at: April 10, 2026, 12:06 p.m.